TRAIN_FILES_X = ['../datasets/casas/ende/cairo/9999/npy/3/cairo-train-x-0.npy',  # 0
                 '../datasets/casas/ende/cairo/9999/npy/3/cairo-train-x-1.npy',  # 1
                 '../datasets/casas/ende/cairo/9999/npy/3/cairo-train-x-2.npy',  # 2
                 '../datasets/casas/ende/cairo/999/npy/3/cairo-train-x-0.npy',  # 3
                 '../datasets/casas/ende/cairo/999/npy/3/cairo-train-x-1.npy',  # 4
                 '../datasets/casas/ende/cairo/999/npy/3/cairo-train-x-2.npy',  # 5
                 '../datasets/casas/ende/cairo/1/npy/3/cairo-train-x-0.npy',  # 6
                 '../datasets/casas/ende/cairo/1/npy/3/cairo-train-x-1.npy',  # 7
                 '../datasets/casas/ende/cairo/1/npy/3/cairo-train-x-2.npy',  # 8
                 '../datasets/casas/ende/cairo/2/npy/3/cairo-train-x-0.npy',  # 9
                 '../datasets/casas/ende/cairo/2/npy/3/cairo-train-x-1.npy',  # 10
                 '../datasets/casas/ende/cairo/2/npy/3/cairo-train-x-2.npy',  # 11
                 '../datasets/casas/ende/cairo/3/npy/3/cairo-train-x-0.npy',  # 12
                 '../datasets/casas/ende/cairo/3/npy/3/cairo-train-x-1.npy',  # 13
                 '../datasets/casas/ende/cairo/3/npy/3/cairo-train-x-2.npy',  # 14
                 '../datasets/casas/ende/cairo/4/npy/3/cairo-train-x-0.npy',  # 15
                 '../datasets/casas/ende/cairo/4/npy/3/cairo-train-x-1.npy',  # 16
                 '../datasets/casas/ende/cairo/4/npy/3/cairo-train-x-2.npy',  # 17
                 '../datasets/casas/ende/cairo/5/npy/3/cairo-train-x-0.npy',  # 18
                 '../datasets/casas/ende/cairo/5/npy/3/cairo-train-x-1.npy',  # 19
                 '../datasets/casas/ende/cairo/5/npy/3/cairo-train-x-2.npy',  # 20
                 '../datasets/casas/ende/milan/9999/npy/3/milan-train-x-0.npy',  # 21
                 '../datasets/casas/ende/milan/9999/npy/3/milan-train-x-1.npy',  # 22
                 '../datasets/casas/ende/milan/9999/npy/3/milan-train-x-2.npy',  # 23
                 '../datasets/casas/ende/milan/999/npy/3/milan-train-x-0.npy',  # 24
                 '../datasets/casas/ende/milan/999/npy/3/milan-train-x-1.npy',  # 25
                 '../datasets/casas/ende/milan/999/npy/3/milan-train-x-2.npy',  # 26
                 '../datasets/casas/ende/milan/1/npy/3/milan-train-x-0.npy',  # 27
                 '../datasets/casas/ende/milan/1/npy/3/milan-train-x-1.npy',  # 28
                 '../datasets/casas/ende/milan/1/npy/3/milan-train-x-2.npy',  # 29
                 '../datasets/casas/ende/milan/2/npy/3/milan-train-x-0.npy',  # 30
                 '../datasets/casas/ende/milan/2/npy/3/milan-train-x-1.npy',  # 31
                 '../datasets/casas/ende/milan/2/npy/3/milan-train-x-2.npy',  # 32
                 '../datasets/casas/ende/milan/3/npy/3/milan-train-x-0.npy',  # 33
                 '../datasets/casas/ende/milan/3/npy/3/milan-train-x-1.npy',  # 34
                 '../datasets/casas/ende/milan/3/npy/3/milan-train-x-2.npy',  # 35
                 '../datasets/casas/ende/milan/4/npy/3/milan-train-x-0.npy',  # 36
                 '../datasets/casas/ende/milan/4/npy/3/milan-train-x-1.npy',  # 37
                 '../datasets/casas/ende/milan/4/npy/3/milan-train-x-2.npy',  # 38
                 '../datasets/casas/ende/milan/5/npy/3/milan-train-x-0.npy',  # 39
                 '../datasets/casas/ende/milan/5/npy/3/milan-train-x-1.npy',  # 40
                 '../datasets/casas/ende/milan/5/npy/3/milan-train-x-2.npy',  # 41
                 '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-x-0.npy',  # 42
                 '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-x-1.npy',  # 43
                 '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-x-2.npy',  # 44
                 '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-x-0.npy',  # 45
                 '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-x-1.npy',  # 46
                 '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-x-2.npy',  # 47
                 '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-x-0.npy',  # 48
                 '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-x-1.npy',  # 49
                 '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-x-2.npy',  # 50
                 '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-x-0.npy',  # 51
                 '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-x-1.npy',  # 52
                 '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-x-2.npy',  # 53
                 '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-x-0.npy',  # 54
                 '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-x-1.npy',  # 55
                 '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-x-2.npy',  # 56
                 '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-x-0.npy',  # 57
                 '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-x-1.npy',  # 58
                 '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-x-2.npy',  # 59
                 '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-x-0.npy',  # 60
                 '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-x-1.npy',  # 61
                 '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-x-2.npy',  # 62
                 '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-x-0.npy',  # 63
                 '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-x-1.npy',  # 64
                 '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-x-2.npy',  # 65
                 '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-x-0.npy',  # 66
                 '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-x-1.npy',  # 67
                 '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-x-2.npy',  # 68
                 '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-x-0.npy',  # 69
                 '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-x-1.npy',  # 70
                 '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-x-2.npy',  # 71
                 '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-x-0.npy',  # 72
                 '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-x-1.npy',  # 73
                 '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-x-2.npy',  # 74
                 '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-x-0.npy',  # 75
                 '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-x-1.npy',  # 76
                 '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-x-2.npy',  # 77
                 '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-x-0.npy',  # 78
                 '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-x-1.npy',  # 79
                 '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-x-2.npy',  # 80
                 '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-x-0.npy',  # 81
                 '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-x-1.npy',  # 82
                 '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-x-2.npy',  # 83
                 '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-x-0.npy',  # 84
                 '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-x-1.npy',  # 85
                 '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-x-2.npy',  # 86
                 '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-x-0.npy',  # 87
                 '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-x-1.npy',  # 88
                 '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-x-2.npy',  # 89
                 '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-x-0.npy',  # 90
                 '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-x-1.npy',  # 91
                 '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-x-2.npy',  # 92
                 '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-x-0.npy',  # 93
                 '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-x-1.npy',  # 94
                 '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-x-2.npy',  # 95
                 '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-x-0.npy',  # 96
                 '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-x-1.npy',  # 97
                 '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-x-2.npy',  # 98
                 '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-x-0.npy',  # 99
                 '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-x-1.npy',  # 100
                 '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-x-2.npy',  # 101
                 '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-x-0.npy',  # 102
                 '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-x-1.npy',  # 103
                 '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-x-2.npy',  # 104
                 ]

TRAIN_FILES_Y = [
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-train-y-0.npy',  # 0
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-train-y-1.npy',  # 1
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-train-y-2.npy',  # 2
    '../datasets/casas/ende/cairo/999/npy/3/cairo-train-y-0.npy',  # 3
    '../datasets/casas/ende/cairo/999/npy/3/cairo-train-y-1.npy',  # 4
    '../datasets/casas/ende/cairo/999/npy/3/cairo-train-y-2.npy',  # 5
    '../datasets/casas/ende/cairo/1/npy/3/cairo-train-y-0.npy',  # 6
    '../datasets/casas/ende/cairo/1/npy/3/cairo-train-y-1.npy',  # 7
    '../datasets/casas/ende/cairo/1/npy/3/cairo-train-y-2.npy',  # 8
    '../datasets/casas/ende/cairo/2/npy/3/cairo-train-y-0.npy',  # 9
    '../datasets/casas/ende/cairo/2/npy/3/cairo-train-y-1.npy',  # 10
    '../datasets/casas/ende/cairo/2/npy/3/cairo-train-y-2.npy',  # 11
    '../datasets/casas/ende/cairo/3/npy/3/cairo-train-y-0.npy',  # 12
    '../datasets/casas/ende/cairo/3/npy/3/cairo-train-y-1.npy',  # 13
    '../datasets/casas/ende/cairo/3/npy/3/cairo-train-y-2.npy',  # 14
    '../datasets/casas/ende/cairo/4/npy/3/cairo-train-y-0.npy',  # 15
    '../datasets/casas/ende/cairo/4/npy/3/cairo-train-y-1.npy',  # 16
    '../datasets/casas/ende/cairo/4/npy/3/cairo-train-y-2.npy',  # 17
    '../datasets/casas/ende/cairo/5/npy/3/cairo-train-y-0.npy',  # 18
    '../datasets/casas/ende/cairo/5/npy/3/cairo-train-y-1.npy',  # 19
    '../datasets/casas/ende/cairo/5/npy/3/cairo-train-y-2.npy',  # 20
    '../datasets/casas/ende/milan/9999/npy/3/milan-train-y-0.npy',  # 21
    '../datasets/casas/ende/milan/9999/npy/3/milan-train-y-1.npy',  # 22
    '../datasets/casas/ende/milan/9999/npy/3/milan-train-y-2.npy',  # 23
    '../datasets/casas/ende/milan/999/npy/3/milan-train-y-0.npy',  # 24
    '../datasets/casas/ende/milan/999/npy/3/milan-train-y-1.npy',  # 25
    '../datasets/casas/ende/milan/999/npy/3/milan-train-y-2.npy',  # 26
    '../datasets/casas/ende/milan/1/npy/3/milan-train-y-0.npy',  # 27
    '../datasets/casas/ende/milan/1/npy/3/milan-train-y-1.npy',  # 28
    '../datasets/casas/ende/milan/1/npy/3/milan-train-y-2.npy',  # 29
    '../datasets/casas/ende/milan/2/npy/3/milan-train-y-0.npy',  # 30
    '../datasets/casas/ende/milan/2/npy/3/milan-train-y-1.npy',  # 31
    '../datasets/casas/ende/milan/2/npy/3/milan-train-y-2.npy',  # 32
    '../datasets/casas/ende/milan/3/npy/3/milan-train-y-0.npy',  # 33
    '../datasets/casas/ende/milan/3/npy/3/milan-train-y-1.npy',  # 34
    '../datasets/casas/ende/milan/3/npy/3/milan-train-y-2.npy',  # 35
    '../datasets/casas/ende/milan/4/npy/3/milan-train-y-0.npy',  # 36
    '../datasets/casas/ende/milan/4/npy/3/milan-train-y-1.npy',  # 37
    '../datasets/casas/ende/milan/4/npy/3/milan-train-y-2.npy',  # 38
    '../datasets/casas/ende/milan/5/npy/3/milan-train-y-0.npy',  # 39
    '../datasets/casas/ende/milan/5/npy/3/milan-train-y-1.npy',  # 40
    '../datasets/casas/ende/milan/5/npy/3/milan-train-y-2.npy',  # 41
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-y-0.npy',  # 42
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-y-1.npy',  # 43
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-train-y-2.npy',  # 44
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-y-0.npy',  # 45
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-y-1.npy',  # 46
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-train-y-2.npy',  # 47
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-y-0.npy',  # 48
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-y-1.npy',  # 49
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-train-y-2.npy',  # 50
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-y-0.npy',  # 51
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-y-1.npy',  # 52
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-train-y-2.npy',  # 53
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-y-0.npy',  # 54
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-y-1.npy',  # 55
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-train-y-2.npy',  # 56
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-y-0.npy',  # 57
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-y-1.npy',  # 58
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-train-y-2.npy',  # 59
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-y-0.npy',  # 60
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-y-1.npy',  # 61
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-train-y-2.npy',  # 62
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-y-0.npy',  # 63
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-y-1.npy',  # 64
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-train-y-2.npy',  # 65
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-y-0.npy',  # 66
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-y-1.npy',  # 67
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-train-y-2.npy',  # 68
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-y-0.npy',  # 69
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-y-1.npy',  # 70
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-train-y-2.npy',  # 71
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-y-0.npy',  # 72
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-y-1.npy',  # 73
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-train-y-2.npy',  # 74
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-y-0.npy',  # 75
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-y-1.npy',  # 76
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-train-y-2.npy',  # 77
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-y-0.npy',  # 78
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-y-1.npy',  # 79
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-train-y-2.npy',  # 80
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-y-0.npy',  # 81
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-y-1.npy',  # 82
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-train-y-2.npy',  # 83
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-y-0.npy',  # 84
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-y-1.npy',  # 85
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-train-y-2.npy',  # 86
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-y-0.npy',  # 87
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-y-1.npy',  # 88
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-train-y-2.npy',  # 89
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-y-0.npy',  # 90
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-y-1.npy',  # 91
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-train-y-2.npy',  # 92
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-y-0.npy',  # 93
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-y-1.npy',  # 94
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-train-y-2.npy',  # 95
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-y-0.npy',  # 96
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-y-1.npy',  # 97
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-train-y-2.npy',  # 98
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-y-0.npy',  # 99
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-y-1.npy',  # 100
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-train-y-2.npy',  # 101
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-y-0.npy',  # 102
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-y-1.npy',  # 103
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-train-y-2.npy',  # 104
]

TEST_FILES_X = [
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-x-0.npy',  # 0
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-x-1.npy',  # 1
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-x-2.npy',  # 2
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-x-0.npy',  # 3
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-x-1.npy',  # 4
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-x-2.npy',  # 5
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-x-0.npy',  # 6
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-x-1.npy',  # 7
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-x-2.npy',  # 8
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-x-0.npy',  # 9
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-x-1.npy',  # 10
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-x-2.npy',  # 11
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-x-0.npy',  # 12
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-x-1.npy',  # 13
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-x-2.npy',  # 14
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-x-0.npy',  # 15
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-x-1.npy',  # 16
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-x-2.npy',  # 17
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-x-0.npy',  # 18
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-x-1.npy',  # 19
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-x-2.npy',  # 20
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-x-0.npy',  # 21
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-x-1.npy',  # 22
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-x-2.npy',  # 23
    '../datasets/casas/ende/milan/999/npy/3/milan-test-x-0.npy',  # 24
    '../datasets/casas/ende/milan/999/npy/3/milan-test-x-1.npy',  # 25
    '../datasets/casas/ende/milan/999/npy/3/milan-test-x-2.npy',  # 26
    '../datasets/casas/ende/milan/1/npy/3/milan-test-x-0.npy',  # 27
    '../datasets/casas/ende/milan/1/npy/3/milan-test-x-1.npy',  # 28
    '../datasets/casas/ende/milan/1/npy/3/milan-test-x-2.npy',  # 29
    '../datasets/casas/ende/milan/2/npy/3/milan-test-x-0.npy',  # 30
    '../datasets/casas/ende/milan/2/npy/3/milan-test-x-1.npy',  # 31
    '../datasets/casas/ende/milan/2/npy/3/milan-test-x-2.npy',  # 32
    '../datasets/casas/ende/milan/3/npy/3/milan-test-x-0.npy',  # 33
    '../datasets/casas/ende/milan/3/npy/3/milan-test-x-1.npy',  # 34
    '../datasets/casas/ende/milan/3/npy/3/milan-test-x-2.npy',  # 35
    '../datasets/casas/ende/milan/4/npy/3/milan-test-x-0.npy',  # 36
    '../datasets/casas/ende/milan/4/npy/3/milan-test-x-1.npy',  # 37
    '../datasets/casas/ende/milan/4/npy/3/milan-test-x-2.npy',  # 38
    '../datasets/casas/ende/milan/5/npy/3/milan-test-x-0.npy',  # 39
    '../datasets/casas/ende/milan/5/npy/3/milan-test-x-1.npy',  # 40
    '../datasets/casas/ende/milan/5/npy/3/milan-test-x-2.npy',  # 41
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-x-0.npy',  # 42
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-x-1.npy',  # 43
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-x-2.npy',  # 44
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-x-0.npy',  # 45
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-x-1.npy',  # 46
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-x-2.npy',  # 47
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-x-0.npy',  # 48
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-x-1.npy',  # 49
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-x-2.npy',  # 50
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-x-0.npy',  # 51
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-x-1.npy',  # 52
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-x-2.npy',  # 53
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-x-0.npy',  # 54
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-x-1.npy',  # 55
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-x-2.npy',  # 56
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-x-0.npy',  # 57
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-x-1.npy',  # 58
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-x-2.npy',  # 59
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-x-0.npy',  # 60
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-x-1.npy',  # 61
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-x-2.npy',  # 62
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-x-0.npy',  # 63
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-x-1.npy',  # 64
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-x-2.npy',  # 65
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-x-0.npy',  # 66
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-x-1.npy',  # 67
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-x-2.npy',  # 68
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-x-0.npy',  # 69
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-x-1.npy',  # 70
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-x-2.npy',  # 71
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-x-0.npy',  # 72
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-x-1.npy',  # 73
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-x-2.npy',  # 74
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-x-0.npy',  # 75
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-x-1.npy',  # 76
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-x-2.npy',  # 77
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-x-0.npy',  # 78
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-x-1.npy',  # 79
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-x-2.npy',  # 80
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-x-0.npy',  # 81
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-x-1.npy',  # 82
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-x-2.npy',  # 83
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-x-0.npy',  # 84
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-x-1.npy',  # 85
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-x-2.npy',  # 86
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-x-0.npy',  # 87
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-x-1.npy',  # 88
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-x-2.npy',  # 89
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-x-0.npy',  # 90
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-x-1.npy',  # 91
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-x-2.npy',  # 92
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-x-0.npy',  # 93
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-x-1.npy',  # 94
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-x-2.npy',  # 95
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-x-0.npy',  # 96
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-x-1.npy',  # 97
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-x-2.npy',  # 98
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-x-0.npy',  # 99
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-x-1.npy',  # 100
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-x-2.npy',  # 101
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-x-0.npy',  # 102
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-x-1.npy',  # 103
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-x-2.npy',  # 104
]

TEST_FILES_Y = [
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-y-0.npy',  # 0
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-y-1.npy',  # 1
    '../datasets/casas/ende/cairo/9999/npy/3/cairo-test-y-2.npy',  # 2
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-y-0.npy',  # 3
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-y-1.npy',  # 4
    '../datasets/casas/ende/cairo/999/npy/3/cairo-test-y-2.npy',  # 5
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-y-0.npy',  # 6
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-y-1.npy',  # 7
    '../datasets/casas/ende/cairo/1/npy/3/cairo-test-y-2.npy',  # 8
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-y-0.npy',  # 9
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-y-1.npy',  # 10
    '../datasets/casas/ende/cairo/2/npy/3/cairo-test-y-2.npy',  # 11
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-y-0.npy',  # 12
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-y-1.npy',  # 13
    '../datasets/casas/ende/cairo/3/npy/3/cairo-test-y-2.npy',  # 14
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-y-0.npy',  # 15
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-y-1.npy',  # 16
    '../datasets/casas/ende/cairo/4/npy/3/cairo-test-y-2.npy',  # 17
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-y-0.npy',  # 18
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-y-1.npy',  # 19
    '../datasets/casas/ende/cairo/5/npy/3/cairo-test-y-2.npy',  # 20
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-y-0.npy',  # 21
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-y-1.npy',  # 22
    '../datasets/casas/ende/milan/9999/npy/3/milan-test-y-2.npy',  # 23
    '../datasets/casas/ende/milan/999/npy/3/milan-test-y-0.npy',  # 24
    '../datasets/casas/ende/milan/999/npy/3/milan-test-y-1.npy',  # 25
    '../datasets/casas/ende/milan/999/npy/3/milan-test-y-2.npy',  # 26
    '../datasets/casas/ende/milan/1/npy/3/milan-test-y-0.npy',  # 27
    '../datasets/casas/ende/milan/1/npy/3/milan-test-y-1.npy',  # 28
    '../datasets/casas/ende/milan/1/npy/3/milan-test-y-2.npy',  # 29
    '../datasets/casas/ende/milan/2/npy/3/milan-test-y-0.npy',  # 30
    '../datasets/casas/ende/milan/2/npy/3/milan-test-y-1.npy',  # 31
    '../datasets/casas/ende/milan/2/npy/3/milan-test-y-2.npy',  # 32
    '../datasets/casas/ende/milan/3/npy/3/milan-test-y-0.npy',  # 33
    '../datasets/casas/ende/milan/3/npy/3/milan-test-y-1.npy',  # 34
    '../datasets/casas/ende/milan/3/npy/3/milan-test-y-2.npy',  # 35
    '../datasets/casas/ende/milan/4/npy/3/milan-test-y-0.npy',  # 36
    '../datasets/casas/ende/milan/4/npy/3/milan-test-y-1.npy',  # 37
    '../datasets/casas/ende/milan/4/npy/3/milan-test-y-2.npy',  # 38
    '../datasets/casas/ende/milan/5/npy/3/milan-test-y-0.npy',  # 39
    '../datasets/casas/ende/milan/5/npy/3/milan-test-y-1.npy',  # 40
    '../datasets/casas/ende/milan/5/npy/3/milan-test-y-2.npy',  # 41
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-y-0.npy',  # 42
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-y-1.npy',  # 43
    '../datasets/casas/ende/kyoto7/9999/npy/3/kyoto7-test-y-2.npy',  # 44
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-y-0.npy',  # 45
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-y-1.npy',  # 46
    '../datasets/casas/ende/kyoto7/999/npy/3/kyoto7-test-y-2.npy',  # 47
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-y-0.npy',  # 48
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-y-1.npy',  # 49
    '../datasets/casas/ende/kyoto7/1/npy/3/kyoto7-test-y-2.npy',  # 50
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-y-0.npy',  # 51
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-y-1.npy',  # 52
    '../datasets/casas/ende/kyoto7/2/npy/3/kyoto7-test-y-2.npy',  # 53
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-y-0.npy',  # 54
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-y-1.npy',  # 55
    '../datasets/casas/ende/kyoto7/3/npy/3/kyoto7-test-y-2.npy',  # 56
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-y-0.npy',  # 57
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-y-1.npy',  # 58
    '../datasets/casas/ende/kyoto7/4/npy/3/kyoto7-test-y-2.npy',  # 59
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-y-0.npy',  # 60
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-y-1.npy',  # 61
    '../datasets/casas/ende/kyoto7/5/npy/3/kyoto7-test-y-2.npy',  # 62
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-y-0.npy',  # 63
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-y-1.npy',  # 64
    '../datasets/casas/ende/kyoto8/9999/npy/3/kyoto8-test-y-2.npy',  # 65
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-y-0.npy',  # 66
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-y-1.npy',  # 67
    '../datasets/casas/ende/kyoto8/999/npy/3/kyoto8-test-y-2.npy',  # 68
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-y-0.npy',  # 69
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-y-1.npy',  # 70
    '../datasets/casas/ende/kyoto8/1/npy/3/kyoto8-test-y-2.npy',  # 71
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-y-0.npy',  # 72
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-y-1.npy',  # 73
    '../datasets/casas/ende/kyoto8/2/npy/3/kyoto8-test-y-2.npy',  # 74
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-y-0.npy',  # 75
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-y-1.npy',  # 76
    '../datasets/casas/ende/kyoto8/3/npy/3/kyoto8-test-y-2.npy',  # 77
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-y-0.npy',  # 78
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-y-1.npy',  # 79
    '../datasets/casas/ende/kyoto8/4/npy/3/kyoto8-test-y-2.npy',  # 80
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-y-0.npy',  # 81
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-y-1.npy',  # 82
    '../datasets/casas/ende/kyoto8/5/npy/3/kyoto8-test-y-2.npy',  # 83
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-y-0.npy',  # 84
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-y-1.npy',  # 85
    '../datasets/casas/ende/kyoto11/9999/npy/3/kyoto11-test-y-2.npy',  # 86
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-y-0.npy',  # 87
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-y-1.npy',  # 88
    '../datasets/casas/ende/kyoto11/999/npy/3/kyoto11-test-y-2.npy',  # 89
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-y-0.npy',  # 90
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-y-1.npy',  # 91
    '../datasets/casas/ende/kyoto11/1/npy/3/kyoto11-test-y-2.npy',  # 92
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-y-0.npy',  # 93
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-y-1.npy',  # 94
    '../datasets/casas/ende/kyoto11/2/npy/3/kyoto11-test-y-2.npy',  # 95
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-y-0.npy',  # 96
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-y-1.npy',  # 97
    '../datasets/casas/ende/kyoto11/3/npy/3/kyoto11-test-y-2.npy',  # 98
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-y-0.npy',  # 99
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-y-1.npy',  # 100
    '../datasets/casas/ende/kyoto11/4/npy/3/kyoto11-test-y-2.npy',  # 101
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-y-0.npy',  # 102
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-y-1.npy',  # 103
    '../datasets/casas/ende/kyoto11/5/npy/3/kyoto11-test-y-2.npy',  # 104

]

MAX_SEQUENCE_LENGTH_LIST = [2000,  # 0
                            2000,  # 1
                            2000,  # 2
                            2000,  # 3
                            2000,  # 4
                            2000,  # 5
                            2000,  # 6
                            2000,  # 7
                            2000,  # 8
                            2000,  # 9
                            2000,  # 10
                            2000,  # 11
                            2000,  # 12
                            2000,  # 13
                            2000,  # 14
                            2000,  # 15
                            2000,  # 16
                            2000,  # 17
                            2000,  # 18
                            2000,  # 19
                            2000,  # 20
                            2000,  # 21
                            2000,  # 22
                            2000,  # 23
                            2000,  # 24
                            2000,  # 25
                            2000,  # 26
                            2000,  # 27
                            2000,  # 28
                            2000,  # 29
                            2000,  # 30
                            2000,  # 31
                            2000,  # 32
                            2000,  # 33
                            2000,  # 34
                            2000,  # 35
                            2000,  # 36
                            2000,  # 37
                            2000,  # 38
                            2000,  # 39
                            2000,  # 40
                            2000,  # 41
                            2000,  # 42
                            2000,  # 43
                            2000,  # 44
                            2000,  # 45
                            2000,  # 46
                            2000,  # 47
                            2000,  # 48
                            2000,  # 49
                            2000,  # 50
                            2000,  # 51
                            2000,  # 52
                            2000,  # 53
                            2000,  # 54
                            2000,  # 55
                            2000,  # 56
                            2000,  # 57
                            2000,  # 58
                            2000,  # 59
                            2000,  # 60
                            2000,  # 61
                            2000,  # 62
                            2000,  # 63
                            2000,  # 64
                            2000,  # 65
                            2000,  # 66
                            2000,  # 67
                            2000,  # 68
                            2000,  # 69
                            2000,  # 70
                            2000,  # 71
                            2000,  # 72
                            2000,  # 73
                            2000,  # 74
                            2000,  # 75
                            2000,  # 76
                            2000,  # 77
                            2000,  # 78
                            2000,  # 79
                            2000,  # 80
                            2000,  # 81
                            2000,  # 82
                            2000,  # 83
                            2000,  # 84
                            2000,  # 85
                            2000,  # 86
                            2000,  # 87
                            2000,  # 88
                            2000,  # 89
                            2000,  # 90
                            2000,  # 91
                            2000,  # 92
                            2000,  # 93
                            2000,  # 94
                            2000,  # 95
                            2000,  # 96
                            2000,  # 97
                            2000,  # 98
                            2000,  # 99
                            2000,  # 100
                            2000,  # 101
                            2000,  # 102
                            2000,  # 103
                            2000,  # 104
                            ]

NB_CLASSES_LIST = [7,  # 0
                   7,  # 1
                   7,  # 2
                   7,  # 3
                   7,  # 4
                   7,  # 5
                   7,  # 6
                   7,  # 7
                   7,  # 8
                   7,  # 9
                   7,  # 10
                   7,  # 11
                   7,  # 12
                   7,  # 13
                   7,  # 14
                   7,  # 15
                   7,  # 16
                   7,  # 17
                   7,  # 18
                   7,  # 19
                   7,  # 20
                   10,  # 21
                   10,  # 22
                   10,  # 23
                   10,  # 24
                   10,  # 25
                   10,  # 26
                   10,  # 27
                   10,  # 28
                   10,  # 29
                   10,  # 30
                   10,  # 31
                   10,  # 32
                   10,  # 33
                   10,  # 34
                   10,  # 35
                   10,  # 36
                   10,  # 37
                   10,  # 38
                   10,  # 39
                   10,  # 40
                   10,  # 41
                   7,  # 42
                   7,  # 43
                   7,  # 44
                   7,  # 45
                   7,  # 46
                   7,  # 47
                   7,  # 48
                   7,  # 49
                   7,  # 50
                   7,  # 51
                   7,  # 52
                   7,  # 53
                   7,  # 54
                   7,  # 55
                   7,  # 56
                   7,  # 57
                   7,  # 58
                   7,  # 59
                   7,  # 60
                   7,  # 61
                   7,  # 62
                   5,  # 63
                   5,  # 64
                   5,  # 65
                   5,  # 66
                   5,  # 67
                   5,  # 68
                   5,  # 69
                   5,  # 70
                   5,  # 71
                   5,  # 72
                   5,  # 73
                   5,  # 74
                   5,  # 75
                   5,  # 76
                   5,  # 77
                   5,  # 78
                   5,  # 79
                   5,  # 80
                   5,  # 81
                   5,  # 82
                   5,  # 83
                   11,  # 84
                   11,  # 85
                   11,  # 86
                   11,  # 87
                   11,  # 88
                   11,  # 89
                   11,  # 90
                   11,  # 91
                   11,  # 92
                   11,  # 93
                   11,  # 94
                   11,  # 95
                   11,  # 96
                   11,  # 97
                   11,  # 98
                   11,  # 99
                   11,  # 100
                   11,  # 101
                   11,  # 102
                   11,  # 103
                   11,  # 104
                   ]

TEST_FILES = ['../datasets/casas/ende/cairo/9999/npy/3/cairo-train-x-0.npy',  # 0
              ]

TRAIN_FILES = ['../datasets/casas/ende/cairo/9999/npy/3/cairo-train-x-0.npy',  # 0
               ]




# jupyter
JUPYTER_TOKEN = {
    "token_lists": ["root",  # win
                    "8786ba7fd6db486eb13a6e4e79d5951a",  # 7920
                    "ef6c4f2832454a65a1d9c2c7551af431"]  # 5810
}
